It is predicted that the amount of rainfall and the frequency of heavy rainfall will increase as global warming progresses. Therefore, it is necessary to develop flood control facilities to deal with the increase in rainfall. However, there is a great deal of uncertainty about how fast climate change will progress and how much the temperature will rise. Therefore, it is difficult to properly determine the order of construction of flood control facilities by assuming a deterministic magnitude of rainfall. This study proposes a stochastic dynamic optimization problem to control the budget allocation for flood control facilities, taking the uncertainty of climate change into account. This study also proposes a heuristic solution method for the problem. We apply the proposed optimization problem and solution method to a watershed in Japan and confirm its effectiveness.

 Several studies have used person-trip (PT) surveys to explore household with every member out-of-home (HEMO) rate, a novel use of the survey data. This study extended previous ones by examining individual-based out-of-home (IO) and HEMO rates using surveys on time use and leisure activities (TULA) in Japan. Because TULA does not include activity location data in most samples, we proposed and validated a method of inferring activity location as either in-home or out-of-home. Then, we demonstrated the changes in HEMO and IO rates on weekdays and weekends from 1986 to 2016 and the effect of household income on the change in the HEMO rate. Comparing the immobility (i.e., people who stayed home on a given day) rates inferred from the TULA and nationwide PT survey data revealed a considerable discrepancy—especially among seniors and males in their 20s—indicating trip misreporting and soft refusals in the PT survey data. Although PT survey data frequently report increased youth and decreased senior immobility over time, our results suggested that the increased and decreased immobility among youth and seniors may be overestimated and underestimated, respectively.

 In this paper, we propose a methodology to quantify the economic loss of users caused by the failure of a highway facility and to find the optimal repair policy considering both the economic loss of users and the management cost. In facilities such as ETC systems, it is difficult to prevent all failures, and it is necessary to take into account not only the management cost, but also the economic loss of users due to the failure. We propose a methodology that quantifies i) the economic loss of users due to traffic congestion caused by the failure and ii) the failure process of facilities, using traffic volume data and failure data of the facilities, and finds the optimal repair policy by an optimal control problem. In the empirical study, the proposed methodology is applied to a management problem of a real ETC system to discuss the effectiveness of the methodology and to analyze the relationship between the characteristics of the IC where the ETC system is installed and the optimal repair policy.

 Development of trunk inter-regional transport system influences to population distribution as well as regional economic performances. This paper proposed a computable multi-regional and multi-sectoral economic model. The model is able to assess effects of transport policy on geographical changes in industrial and households location, based on rigorous theoretical foundations, namely spatial economics. The new high speed rail Chuo Shinkansen using SuperConducting MAGnetic LEVitation, SCMAGLEV, railway system will drastically change the intercity mobility. The revolution of the mobility can influence to economic and geographic status of Japan. This paper develops a spatial economic model based on quantitative spatial economics (QSE) framework and estimates the impacts caused by Chuo Shinkansen by using the model.

 In order to maintain road bridges, strategic human resource development is required to secure engineers that are capable of behaving or making decision at certain level required for each organizations concerning for road bridge management. However, road bridge maintenance is largely supported by tacit knowledge. For this reason, it is difficult to clearly define the targets such as overall picture and components of technical capabilities in human resource development of each organizations.

 This paper attempts to elucidate technological capabilities required for road bridge maintenance by quantitative text analysis of the text data that records the technical consultation by experts of road bridges on the decisions and considerations that should be made by road administrators in dealing with the defects of road bridges.

 This study develops a methodology for estimating parameters of urban/transportation equilibrium models with multiple equilibria, from the observed location patterns, traffic volumes, and so on. It is known that a potential game on a continuous-time and continuous state framework, whose state dynamics is denoted by a Langevin diffusion, has a Boltzmann-type steady-state distribution. This enables us to define the likelihood of the parameters against the observation and formulate the maximum likelihood estimation problem. We develop a numerical solution method by using an accelerated proximal gradient method that has been widely used in the machine learning field. Finally, we apply the proposed method to a simple equilibrium model that has multiple equilibria and examine that it estimates the appropriate parameters from the observations.